The traditional process capability indices C_p/C_pk for evaluating process capability used in the current industry are based on the probability model of a process distribution, which makes it difficult for many processes whose actual output with non-normal distribution to apply these indices. In this paper, new process quality indices (PQI) Q_p/Q_pk are proposed for measuring the quality capability of the process. The new PQI are derived from Taguchi's quality loss function model and do not need to estimate the probability distribution of the process output. The traditional process capability indices C_p/C_pk are zero-defect indices, it focus on meeting the process specification requirements, while the new PQI Q_p/Q_pk are zero-loss indices, it focus on approaching the process target value. The construction of the new PQI is logical, simple, and practical. The PQI approach is more suitable for quality management in the Era of big data.

当前行业中用于评价过程能力的传统过程能力指标C _p / C _pk是基于过程分布的概率模型，这使得许多实际输出呈非正态分布的过程难以应用这些指标。在本文中，提出了新的过程质量指数（PQI）Q _p / Q _pk来衡量过程的质量能力。新的 PQI 源自田口的质量损失函数模型，不需要估计过程输出的概率分布。传统工艺能力指标C _p / C _pk是零缺陷指标，着眼于满足工艺规范要求，而新的 PQI Q _p / Q _pk是零损失指标，着眼于接近工艺目标值。新PQI的构建是合乎逻辑的、简单的、实用的。PQI方法更适合大数据时代的质量管理。